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Rules of The Pulmonary Artery Segmentation Challenge

Terms and Registration

  1. All participants should click the Join button, and then fill out the online registration form.(Office365Doc, TencentDoc)
  2. Participants should read the agreements carefully and send the signed document to PARSE2022@hotmail.com . (Only after the agreement is received will the dataset download link be emailed.)
  3. The participants should register this challenge with their real names, affiliation (including department, full name of university/institute/company, country), affiliation E-mails and personal/group website. We won’t approve the requests with incomplete and redundant registrations.
  4. Participants are not allowed to use multiple accounts to participate in the challenge, and participants in a team are also not allowed to make individual submissions.

Submission Limits

  1. During evaluation phase , Participants will be allowed to submit at most three submissions per day. 
  2. During testing phase , each participant can only submit one successful docker image.Only fully-automated segmentation methods are acceptable for participation in this challenge.
  3. Every registered participant is required to make submissions before the challenge deadline.
  4. The participants must submit a solution that contains a Docker container (tar file) and a qualified short paper which describes the method (4-12 pages, LNCS format).
  5. Only the last run is officially counted to compute challenge results. Scores and leaderboard will be updated after the submission.

Use of Data

  1. Participants are not allowed to use any additional data.
  2. All data annotations are released under a CC BY-NC-ND 6.0 license.
  3. Teams should sign a data usage agreement before downloading data.
  4. Participants should use the data only for the Challenge. Any other use of the data (including redistribution and developing other algorithms) is not allowed.

Docker rules

  1. The detailed docker rules can be access from the Official repository of MICCAI 2022 Parse challenge on github.

Pre-trained models and additional data

For a fair comparison, participants are not allowed to use any additional data and pre-trained models.